{"id":"W3131890115","doi":"10.5539/ijms.v13n1p63","title":"Correlation Between “Optimal User Experience” Achieved via Extent of User’s Private Data Being Shared","year":2021,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Marketing; Business; Computer science; Internet privacy; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002520669,0.0001398351,0.000184084,0.0006979905,0.0004529672,0.001705745,0.0002814171,0.0004841533,0.00442506],"category_scores_gemma":[0.01911836,0.0001715167,0.0004297286,0.000513893,0.001006168,0.001392141,0.001241929,0.0009073006,0.0003896551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004887757,"about_ca_system_score_gemma":0.00031964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001358784,"about_ca_topic_score_gemma":0.001623172,"domain_scores_codex":[0.9965062,0.001694264,0.0004194223,0.0002853558,0.0007909655,0.0003038136],"domain_scores_gemma":[0.9682707,0.01803949,0.006640226,0.001925394,0.002985586,0.00213852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006932966,0.0003538479,0.9497409,0.0001733637,0.000218749,0.0002165044,0.02152857,0.000415157,0.00297197,0.001585674,0.0004872814,0.02161452],"study_design_scores_gemma":[0.000009576069,0.0003577534,0.9754485,0.00003088582,0.00003636824,0.0002780695,0.0204003,0.0007706734,0.000558896,0.0004363409,0.001637224,0.00003539338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953806,0.00006201589,0.0003309693,0.00006761918,0.000003485167,0.00001557512,0.0000725569,0.000006865164,0.004060242],"genre_scores_gemma":[0.9993336,0.00003138669,0.0001959502,0.00001587098,0.000002490769,0.00001051476,0.00005558087,0.000002150735,0.0003525041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00442506,"threshold_uncertainty_score":0.01480329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07224553023890826,"score_gpt":0.3781457102758783,"score_spread":0.3059001800369701,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}